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Robot Path Planning and Cooperation: Foundations, Algorithms and Experimentations

This book presents extensive research on two main problems in robotics: the path planning problem and the multi-robot task allocation;

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Obstacle Avoidance In Multi-robot Systems, Experiments In Parallel Genetic Algorithms

planning problem for robot manipulators. Simple and efficient solutions are proposed for the path planning problem based on genetic algorithms. One;

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Path Planning Algorithms for Mobile Robots

A comparative analysis of three most commonly used path planning algorithms, i.e. A* Algorithm, Genetic Algorithm and Ant Colony;

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Autonomous Mobile Robots and MultiRobot Systems

book covers the methods and algorithms for the navigation, motion planning, and control of mobile robots acting individually and in groups. It;

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Vision-Based Mobile Robot Control and Path Planning Algorithms in Obstacle Environments Using Type-2 Fuzzy Logic

The book includes topics, such as: path planning, avoiding obstacles, following the path, go-to-goal control, localization, and visual;

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Designing Robot Behavior in Human-Robot Interactions

in real-time robot motion planning, imitation of human behaviors from demonstration, dexterity of robots to adapt to different environments and;

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Designing Robot Behavior in Human-Robot Interactions

in real-time robot motion planning, imitation of human behaviors from demonstration, dexterity of robots to adapt to different environments and;

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Multi-UAV Planning and Task Allocation

Provides a comprehensive introduction to multi-robot systems planning and task allocation; Explores multi robot aerial planning, flight;

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Multi-UAV Planning and Task Allocation

Provides a comprehensive introduction to multi-robot systems planning and task allocation; Explores multi robot aerial planning, flight;

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Artificial Intelligence for Robotics

will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks. By the end of this book, you will;

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Algorithmic and Computational Robotics

Algorithms that control the computational processes relating sensors and actuators are indispensable for robot navigation and the;

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Path Planning of Robot Manipulator Using Bezier Technique

planning, obstacle avoidance, and path tracking.;

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Recent Advances in Robot Path Planning Algorithms

. The robot path planning relying on the robot vision sensors and applicable computing hardware are concentrated in the fourth chapter. The;

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Advances in Swarm Intelligence, Part I

. Topics addressed in part II are such as multi-objective optimization algorithms, multi-robot, swarm-robot, and multi-agent systems, data mining;

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Planning Algorithms

several sources, including robotics, control theory, artificial intelligence, and algorithms. The treatment is centered on robot motion planning;

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Path Planning of Cooperative Mobile Robots Using Discrete Event Models

Offers an integrated presentation for path planning and motion control of cooperative mobile robots using discrete-event system principles;

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Algorithms for Sensor Systems

papers presented in this volume were carefully reviewed and selected from 20 submissions. They are organized in topical sections named: robot;

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Fundamentals of Robotics

FUNDAMENTALS OF ROBOTICS starts with an introduction to robots and robotics. It then deals with the fundamentals of robot kinematics;

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Advances in Swarm Intelligence

information security, intelligent control, wireless sensor network, scheduling and path planning, image and video processing, and other applications.;

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MultiAgent Coordination

Discover the latest developments in multi-robot coordination techniques with this insightful and original resource Multi-Agent;

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Algorithmic Foundations of Robotics XII

Robot Swarms: Science Fiction through Geometric Algorithms, Dan Halperin on From Piano Movers to Piano Printers: Computing and Using Minkowski;

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Algorithmic Foundations of Robotics XII

Robot Swarms: Science Fiction through Geometric Algorithms, Dan Halperin on From Piano Movers to Piano Printers: Computing and Using Minkowski;

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Mobile Intelligent Autonomous Systems

of this rapidly emerging area, including: Path and motion planning Obstacle avoidance in a dynamic environment Direct biological-brain;

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Mobile Intelligent Autonomous Systems

of this rapidly emerging area, including: Path and motion planning Obstacle avoidance in a dynamic environment Direct biological-brain;

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Algorithmic Foundations of Robotics XIV

uncertainty, probabilistic algorithms, game theory, and theoretical computer science. Intelligent robots and autonomous systems depend on algorithms;

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Robot Modeling and Control

A New Edition Featuring Case Studies and Examples of the Fundamentals of Robot Kinematics, Dynamics, and Control In the 2nd Edition;

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Principles in Noisy Optimization

of noise handling in the context of single-objective optimization problems. An illustrative case study on multi-robot path-planning in the presence;

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